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SRP158719
Homo sapiens
6 Downloadable Samples
Illumina HiSeq 3000
Description
The goal of this study was to identify transcriptomic differences in A549 lung cancer cell line following knockout of the RPA1 gene. A549 cells, and many lung tumors, carry constitutive NRF2 activation. Understanding how RPA1 modulates transcription, particularly NRF2-mediated transcription, is relevant for future cancer therapeutics.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Cell line
View Samples- Mus musculus
- 12 Downloadable Samples
Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
To assess a potential role of transcription factor CREM in the long-term detrimental effects of beta1-adrenoceptor overexpression, four mouse lines were generated and studied: wild-type mice (WT), Crem-normal beta1AR-transgenic mice (beta1ARTG), Crem-deficient non-transgenic mice (Crem-/-) and Crem-deficient beta1AR-transgenic mice (beta1ARTG/Crem-/-). We focused on genes up- or down-regulated in transgenic mice due to the lacking of CREM (beta1ARTG/Crem-/- vs. beta1ARTG).
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Danio rerio
- 5 Downloadable Samples
- Affymetrix Zebrafish Genome Array (zebrafish)
Description
Zebrafish is an ideal model for the toxicity studies on medicines and environmental genetic toxicants.Different development defects were observed in zebrafish embryos exposed to -ray and heavy ion (carbon or iron) irradiation
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 46 Downloadable Samples
- NextSeq 500
Description
The goal of this study was to determine the role of the X-linked epigenetic mediator, O-linked N-acetylglucosamine transferase (OGT) in establishment of trophoblast-specific sex differences in gene expression and to determine if sex differences in OGT and downstream epigenetic modifications contribute to sex differences in hypothalamic gene expression and development.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Effect of expression of wild type KSHV RTA or the activation domain (aa608-651) deleted version of RTA in 293T cells on gene expression profiling.
Publication Title
No associated publication
Sample Metadata Fields
Cell line, Time
View Samples- Homo sapiens
- 2 Downloadable Samples
- Illumina HiSeq 2000
Description
search differential gene expression with ClC-3 knockdown
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 34 Downloadable Samples
- Illumina HiSeq 4000
Description
The activity of different E2F constructs with respect to gene expression was measured. E2F constructs differed in degradability, and were doxycycline inducible. Different samples with the different E2F constructs, and with or without dox inductions were assayed for gene expression.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
To identify proteins regulated by glucose through changes in their rate of protein synthesis, translational profiling of MIN6 cells acutely incubated at either low or high glucose concentration was performed (i.e. microarray analysis was performed on mRNAs associated with polysomes, as an increase in the association of mRNA with polysomes is indicative of an increase in the rate of initiation step of translation and hence an increase in protein expression) (Johannes et al., 1999; Mikulits et al., 2000).
Publication Title
Distinct glucose-dependent stress responses revealed by translational profiling in pancreatic beta-cells.
Sample Metadata Fields
Specimen part, Cell line, Compound, Time
View Samples- Homo sapiens
- 535 Downloadable Samples
Description
Prediction of human response to chemical exposures is a major challenge in both pharmaceutical and toxicological research. Transcriptomics has been a powerful tool to explore chemical-biological interactions. However, limited throughput, high-costs and complexity of transcriptomic interpretations have yielded numerous studies lacking sufficient experimental context for predictive application. We utilized a novel high-throughput transcriptomics platform to explore a broad range of exposures to 24 reference compounds in both differentiated and undifferentiated human HepaRG cultures. Our goals were to 1) explore transcriptomic characteristics distinguishing liver injury compounds, 2) assess impacts of differentiation state on baseline and compound-induced responses (e.g., metabolically-activated), and 3) identify and resolve reference biological-response pathways and their quantitative translation to human exposures. Study data revealed the predictive utility of transcriptomic concentration-response modeling to quantitatively identify human liver injury compounds by their respective benchmark concentrations (BMCs), and model hepatic responses to classical reference compounds yielding plausibly-relevant estimations of human potency.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 12 Downloadable Samples
- NextSeq 500
Description
Bilirubin is a potent antioxidant that reduces inflammation and the accumulation of fat. There have been reports of gene responses to bilirubin, which was mostly attributed to its antioxidant function. These RNA-sequencing studies investigated the impact biliverdin, which is rapidly reduced to bilirubin, has on transcriptome responses in human HepG2 hepatocytes in a PPARa-dependent fashion. This investigation reveals that transcriptome responses from the generation of bilirubin are mostly PPARa-dependent, and its antioxidant function regulates a smaller set of genes.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Cell line, Treatment, Race
View Samples